Results 211 to 220 of about 91,473 (258)

Exercise Metabolomics Reveals Intensity-Dependent Metabolic Responses Associated with Cardiorespiratory Fitness in Adults with Type 1 Diabetes. [PDF]

Metabolites
McCarthy OM, Solà C, Nicholas C, Tawfik S, Christensen MB, Schmidt S, Nørgaard K, Bracken RM, Kokla M.   +8 more
europepmc   +1 more source

EcoNet-Multi: optimising deep learning frameworks for robust waste detection in diverse global environments. [PDF]

Front Plant Sci
Shukla AK, Dwivedi S.
europepmc   +1 more source

Cardiorespiratory Fitness and Classification of Risk of Cardiovascular Disease Mortality [PDF]

Circulation, 2011
Background— Cardiorespiratory fitness (fitness) is associated with cardiovascular disease (CVD) mortality. However, the extent to which fitness improves risk classification when added to traditional risk factors is unclear. Methods and Results— Fitness was measured by
Amit Khera, Anand Rohatgi, James de Lemos   +2 more
exaly   +3 more sources

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Shell fitting space for classification

Expert Systems with Applications, 2011
In this paper, a shell fitting space (SFS) is presented to map non-linearly separable data to linearly separable ones. A linear or quadratic transformation maps data into a new space for better classification, if the transformation method is properly guessed.
Mostafa Ghazizadeh Ahsaee, Hadi Sadoghi Yazdi, Mahmoud Naghibzadeh   +2 more
openaire   +1 more source

Curve fitting space for classification

Neural Computing and Applications, 2010
In this paper, a curve fitting space (CFS) is presented to map non-linearly separable data to linearly separable ones. A linear or quadratic transformation maps data into a new space for better classification, if the transformation method is properly guessed.
Mostafa Ghazizadeh Ahsaee, Hadi Sadoghi Yazdi, Mahmoud Naghibzadeh   +2 more
openaire   +1 more source

Evaluation of fitness functions of GA classification

Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014
Genetic Algorithm (GA) classifier can automatically search a proper clustering number according to fitness evaluation instead of assignment by users. In this study, a GA classifier with various fitness functions is adopted to search the cluster centers and a suitable cluster number for digital images to overcome the disadvantages of the conventional ...
Ming-Der Yang, Yeh-Fen Yang, Yi-Ping Chen   +2 more
openaire   +2 more sources

The classification of lighting fittings and installations

Lighting Research & Technology, 1970
There is a general need for a system of classifying lighting fittings as a means of comparing their performance. Systems are based on the relative quantities of luminous flux emitted by fittings in the upper and lower hemispheres, but must not be too complicated for practical use. The BZ system extended the basis of classification and has become widely
A.R. Bean, H.E. Bellchambers
openaire   +1 more source

Texture classification by local surface fitting

1988
We present in this paper a new algorithm for texture classification based on local surface fitting of images. At the first step, surface fitting is defined in a predefined local neighborhood and is done at every pixel generating a number of coefficient data fields or texture feature images; Then, texture features are extracted from these feature images
Tieniu Tan, Anthony G. Constantinides
openaire   +2 more sources